These sources introduce graphs as a versatile nonlinear data structure fundamental for representing interconnectedness in various real-world and computational systems. They explain that graphs consist of nodes and edges, both capable of holding properties, and that their topology can be dynamically modified. The lectures and briefing document highlight different graph types, methods for computer representation, and essential graph algorithms like traversal (DFS, BFS), shortest path (Dijkstra, A*), minimum spanning tree, and centrality analysis, emphasizing their importance for abstracting reality and solving complex design problems computationally.

https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation